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This document is a survey on the application of Reinforcement Learning (RL) in Non-Terrestrial Networks (NTN) for enhancing wireless communications through aerial platforms like satellites and UAVs. It reviews various control objectives addressed by RL techniques, synthesizes a taxonomy of current applications, and discusses challenges in achieving efficient deployments. The survey aims to bridge the gap between simulation and real-world applications in NTN communications.

Author

yas2025sam

Language

EN